Examining financial distress of the Vietnamese listed firms using accounting-based models

• Published in: PloS one 2023-05, Vol.18 (5), p.e0284451
• Main Authors: Tran, Thao, Nguyen, Ngoc Hong, Le, Binh Thien, Thanh Vu, Nam, Vo, Duc Hong
• Format: Article
• Language: English
• Subjects: Accounting; Bankruptcy; Biology and Life Sciences; Canada; Computer and Information Sciences; Construction Industry - trends; Coronaviruses; COVID-19; Default; Discriminant analysis; Economic aspects; Economic conditions; Empirical analysis; Epidemics; Equity; Evaluation; Financial management; Financial reporting; GDP; Global economy; Gross Domestic Product; Growth rate; Information services; Liabilities; Manufacturing; Medical research; Medicine and Health Sciences; Online information services; Online services; Pandemics; People and Places; Ratios; Social Sciences; Taiwan; United Kingdom; Vietnam
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0284451

Financial distress is generally considered the most severe consequence for firms with poor financial performance. The emergence of the Covid-19 pandemic has adversely impacted the global business system and exacerbated the number of financially distressed firms in many countries. Only firms with strong financial fundamentals can survive extreme events such as the Covid-19 pandemic and the ongoing Russia-Ukraine conflict. Vietnam is no exception. However, studies examining financial distress using accounting-based indicators, particularly at the industry level, have largely been ignored in the Vietnamese context, particularly with the emergence of the Covid-19 pandemic. This study, therefore, comprehensively examines financial distress for 500 Vietnamese listed firms during the 2012-2021 period. Our study uses interest coverage and times-interest-earned ratios to proxy a firm's financial distress. First, our findings confirm the validity of Altman's Z"- score model in Vietnam only when the interest coverage ratio is used as a proxy for financial distress. Second, our empirical findings indicate that only four financial ratios, including EBIT/Total Assets, Net Income/Total Assets, Total Liabilities/Total Assets, and Total Equity/Total Liabilities, can be used in predicting financial distress in Vietnam. Third, our analysis at the industry level indicates that the "Construction & Real Estates" industry, a significant contributor to the national economy, exhibits the most significant risk exposure, particularly during the Covid-19 pandemic. Policy implications have emerged based on the findings from this study.